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Record W7082148943 · doi:10.11575/prism/50136

Exhumation History of the Intermontane Belt in the Southern Canadian Cordillera: Insights from Low-Temperature Thermochronology

2025· other· en· W7082148943 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2025
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsThermochronologyFission track datingCenozoicZirconTerranePaleogeneTectonicsVolcano

Abstract

fetched live from OpenAlex

The Intermontane belt of the southern Canadian Cordillera is a low-relief, structurally complex region composed of accreted island arc terranes that host significant Mesozoic porphyry Cu ± Au-Mo-Ag deposits. In contrast to the adjacent Coast and Omineca belts—both characterized by rapid, deep exhumation—the Intermontane belt has experienced comparatively limited erosion, raising questions about its Cenozoic tectonic and exhumation history. This study applies low-temperature thermochronological techniques, including apatite fission track (AFT), zircon (U–Th)/He (ZHe), and apatite (U–Th)/He (AHe) analyses, to quantify exhumation across the Intermontane belt. Thermal history modeling, supported by a regional compilation of thermochronology data, provides a detailed reconstruction of post-Mesozoic cooling and exhumation patterns. Results reveal a multi-phase evolution: (1) Jurassic/Cretaceous to Paleogene thermal stability (>150–60 Ma); (2) Paleogene (66–23 Ma) spatially variable cooling driven by reactivation of inherited faults (Yalakom and Pasayten systems), Cordilleran extension and core complex formation, and limited erosion in areas protected by volcanic covers such as the Ootsa, Endako, and Kamloops Groups; and (3) Miocene (20–0 Ma) localized reactivation of earlier structures under transtension, producing a patchwork of cooling ages. Additional volcanic shielding from the Chilcotin Group and a semi-arid climate (<400 mm/yr annual precipitation) helped preserve pre-Cenozoic thermal signals. In contrast, adjacent belts experienced widespread Miocene cooling due to higher erosion rates and deeper crustal exhumation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.209
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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